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SUPPLY CHAIN MODEL OF A MANUFACTURING ENTERPRISE: MULTI-AGENT APPROACH Panfilova, Elena; Smirnov, Artem; Misko, Oleg; Karimov, Baurzhan; Prodanova, Natalia
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.011 KB)

Abstract

Abstract? The work aims to develop a supply chain model (SCM) for a production plant with limited supply chains, depending on the enterprise?s orders stock. To identify an agents' cooperation model, dynamic interaction within the stochastic uncertainty in the raw materials supply and orders for finished products was modeled using a multi-agent approach. The cooperation model includes production processes, from the raw materials supply to the release of finished products. It consists of self-sustaining agent blocks describing the state and dynamics of the production system. The SCM considers the influence of suppliers, consumers, and structural components, allowing adequately and promptly respond to disturbing market factors and contribute to organizational and economic stability of the enterprise. The supply chain model is formalized mathematically. It examines agent-related changes based on the strategy for optimizing material flows. The strategy in point involves minimizing deviations from a given assortment structure under certain circumstances.
Supply Chain Management in High-Tech Industries Clusterization: Market Monopoly or Development of Competitive Advantages? Borisova, Viktoria; Shnyreva, Elena; Panfilova, Elena
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5494

Abstract

Abstract— With the rapid industrial cluster development, in particular the development of high-tech cluster, the supply chain management strategy in cluster is also undergoing profound changes. The study uses open-source statistical data, as well as research results and world rankings as the basis for a descriptive analysis of the external environment for the development of high-tech industries. Two main indicators were selected for the analysis: the GDP per capita growth rate and the level of information and communication development, which are used to assess competitiveness, the level of economic development, innovation and entrepreneurship. The purpose of the study is to examine the features of the innovation policy of developed countries and its impact on supply chain management in high tech industries for clustering them. As a result, it was concluded that the modern macroeconomic environment is characterized by digital transformation trends, as well as decreased geographical influences. Industrial supply chain managements are developed based on the interaction of environmental factors, demand conditions, production factors, and auxiliary industries.